AI-COF: Transforming Organic Farming with Smart Sensors and Real-Time Data

In a groundbreaking development for the agriculture sector, recent research published in ‘วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์’ has introduced an innovative artificial intelligence system model for cooperative organic farming, termed AI-COF. This research, conducted with the Phetchaburi Cooperative Organic Farming Network Agricultural Group, aims to revolutionize organic farming through the integration of advanced technology, offering significant commercial impacts and opportunities.

The AI-COF system is a sophisticated blend of electronic sensors and artificial intelligence designed to optimize organic farming practices. The system is divided into three main components. Firstly, it includes measurement and analysis tools that utilize Narrowband Internet of Things (NB-IoT) technology to monitor and analyze key factors in organic agriculture. This allows for precise data collection on soil conditions, moisture levels, and other critical parameters, ensuring optimal growing conditions for crops.

Secondly, the system features a temperature and humidity sensor kit paired with a camera to monitor plant growth. This real-time monitoring capability enables farmers to make informed decisions about irrigation, pest control, and other essential farming activities, thereby improving crop yields and reducing waste.

The third component is a user-friendly application designed for both producers and consumers of organic products. This app serves as a digital storefront where consumers can purchase organic products directly from farmers. Additionally, it allows consumers to request specific vegetables to be grown, fostering a more direct and personalized relationship between producers and consumers.

The research findings indicate that the AI-COF system is highly efficient and beneficial. The system’s overall quality was rated highly, with an average score of 3.96 out of 5. The efficiency of the participatory organic agriculture AI system model scored an impressive 4.13, while the measurement and analysis tools with NB-IoT technology scored 4.18. The application for producers and consumers also performed well, with a score of 3.55. These results suggest that the AI-COF system can significantly enhance organic farming practices, leading to better crop management and increased productivity.

From a commercial perspective, the AI-COF system presents numerous opportunities. For farmers, the system offers a way to optimize resource use, reduce costs, and improve crop quality, which can lead to higher profits. For consumers, the system provides access to high-quality organic produce and the ability to influence what is grown, enhancing customer satisfaction and loyalty.

Furthermore, the AI-COF system’s adaptability means it can be applied to various types of crops, extending its benefits beyond the initial user group. This scalability opens up new markets and opportunities for collaboration among different farming communities, potentially leading to broader adoption of sustainable farming practices.

In conclusion, the AI-COF system represents a significant advancement in the field of organic farming. By leveraging artificial intelligence and IoT technology, this system not only improves farming efficiency and productivity but also strengthens the connection between producers and consumers. As the agriculture sector continues to embrace digital transformation, innovations like the AI-COF system will play a crucial role in promoting sustainable and profitable farming practices.

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